AI in Computer Vision Market Size By Component (Hardware, Software, Service), By Application (Predictive Maintenance, Quality Assurance & Inspection, Position & Guidance, Identification), End-Use, & Global Forecast, 2023 - 2032

AI in Computer Vision Market Size By Component (Hardware, Software, Service), By Application (Predictive Maintenance, Quality Assurance & Inspection, Position & Guidance, Identification), End-Use, & Global Forecast, 2023 - 2032

Global AI in Computer Vision Market will register significant growth from 2023 to 2032. The advancements in artificial intelligence and deep learning algorithms have significantly improved the accuracy and performance of computer vision systems. For instance, the development of deep learning architectures, such as transformer architecture, is very effective for natural language processing tasks, and it is being increasingly adopted for computer vision tasks as well.

The increasing adoption of automation and robotics in manufacturing, healthcare, and automotive industries is driving the demand for AI-powered computer vision for tasks like quality control, object detection, and medical imaging. The growing popularity of smart devices, autonomous vehicles, and facial recognition technology further contributes to market expansion. Additionally, the availability of large datasets and the development of cloud-based AI solutions have democratized access to computer vision capabilities, enabling businesses of all sizes to integrate AI into their products and services.

The overall AI in Computer Vision Market is classified based on component, application, end-use, and region.

Based on the component, the software segment will contribute significantly to the market from 2023-2032. As computer vision technology advances, the need for sophisticated and efficient algorithms, machine learning models, and image processing software is increasing. Software components play a crucial role in enabling computer vision systems to recognize and interpret visual information accurately. Moreover, the availability of open-source and cloud-based AI software solutions has made it more accessible for businesses to integrate AI into their computer vision applications, further driving the demand for software components in the market.

Regarding application, the AI in computer vision industry from the positioning and guidance segment will depict a high growth rate over 2023-2032. Computer vision technology with AI-driven positioning and guidance capabilities is becoming crucial in autonomous vehicles, drones, and robotics industries. It enables precise navigation, object tracking, and spatial awareness, leading to safer and more efficient operations. Moreover, the demand for augmented reality (AR) and virtual reality (VR) experiences in sectors like gaming, retail, and education are also driving the need for AI-powered computer vision for accurate spatial mapping and real-time interaction.

With respect to end-use, the government segment will accumulate a significant share of the AI in computer vision market revenue by 2032. Governments are recognizing the potential of AI-driven computer vision technology to enhance public safety, security, and efficiency in various areas. Applications include surveillance and monitoring systems, traffic management, and border control. The growing interest in leveraging AI in government operations and services is driving the demand for AI-powered computer vision solutions in the market.

Regionally, the APAC AI in Computer Vision Market will gain traction during the forecast period as the region continues to witness rapid economic growth, technological improvements, and a growing interest in adopting AI-powered computer vision solutions. APAC countries are leveraging computer vision for applications, such as smart city development, industrial automation, and healthcare diagnostics. Moreover, the increasing investments in AI research and development, in line with government initiatives promoting AI adoption, are driving the market expansion in the Asia Pacific, making it a key growth region for AI in computer vision.